Literature DB >> 12153942

Concerning the relationship between benefit and radiation risk, and cancers detected and induced, in a breast screening programme.

J Law1, K Faulkner.   

Abstract

In a breast screening programme based upon X-ray mammography it is necessary to demonstrate that benefit, from reduced mortality arising from earlier diagnosis, exceeds any potential risk from future induction of breast cancers by ionizing radiation. A rigorous treatment of this problem would be both complex and subject to large statistical uncertainty, even if all necessary data were available. A more simplified approach is to show that the number of cancers detected exceeds the number potentially induced by a sufficient margin. These numbers are relatively well established, but this approach is less satisfactory owing to the question of what would constitute a sufficient margin. This paper attempts to explore a possible relationship between the detection/induction ratio and the benefit/risk ratio, using treatment outcome data from three independent sources and mortality reduction data. Agreement between these four sources is considered to be fair, given the nature of the data. The future screening of older women (over 65 years) is also found to have a significant effect on the final outcome. When current trends in such screening are allowed for, the benefit/risk ratio is found to be only marginally less than the detection/induction ratio.

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Year:  2002        PMID: 12153942     DOI: 10.1259/bjr.75.896.750678

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  5 in total

1.  Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.

Authors:  Mark Ruschin; Pontus Timberg; Magnus Båth; Bengt Hemdal; Tony Svahn; Rob S Saunders; Ehsan Samei; Ingvar Andersson; Soren Mattsson; Dev P Chakrabort; Anders Tingber
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

Review 2.  Systematic review: surveillance for breast cancer in women treated with chest radiation for childhood, adolescent, or young adult cancer.

Authors:  Tara O Henderson; Alison Amsterdam; Smita Bhatia; Melissa M Hudson; Anna T Meadows; Joseph P Neglia; Lisa R Diller; Louis S Constine; Robert A Smith; Martin C Mahoney; Elizabeth A Morris; Leslie L Montgomery; Wendy Landier; Stephanie M Smith; Leslie L Robison; Kevin C Oeffinger
Journal:  Ann Intern Med       Date:  2010-04-06       Impact factor: 25.391

Review 3.  Exposure to low-dose radiation and the risk of breast cancer among women with a familial or genetic predisposition: a meta-analysis.

Authors:  Marijke C Jansen-van der Weide; Marcel J W Greuter; Liesbeth Jansen; Jan C Oosterwijk; Ruud M Pijnappel; Geertruida H de Bock
Journal:  Eur Radiol       Date:  2010-06-27       Impact factor: 5.315

Review 4.  State of the art of current modalities for the diagnosis of breast lesions.

Authors:  Cosimo Di Maggio
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-04-15       Impact factor: 9.236

5.  Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study.

Authors:  Su Min Ha; Hak Hee Kim; Eunhee Kang; Bo Kyoung Seo; Nami Choi; Tae Hee Kim; You Jin Ku; Jong Chul Ye
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-12-11
  5 in total

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